Cargando…
Brain structural covariation linked to screen media activity and externalizing behaviors in children
BACKGROUND AND AIMS: Screen media activity (SMA) may impact neurodevelopment in youth. Cross-sectionally, SMA has been linked to brain structural patterns including cortical thinning in children. However, it remains unclear whether specific brain structural co-variation patterns are related to SMA a...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295222/ https://www.ncbi.nlm.nih.gov/pubmed/35895476 http://dx.doi.org/10.1556/2006.2022.00044 |
_version_ | 1784750015684542464 |
---|---|
author | Zhao, Yihong Paulus, Martin Bagot, Kara S. Constable, R. Todd Yaggi, H. Klar Redeker, Nancy S. Potenza, Marc N. |
author_facet | Zhao, Yihong Paulus, Martin Bagot, Kara S. Constable, R. Todd Yaggi, H. Klar Redeker, Nancy S. Potenza, Marc N. |
author_sort | Zhao, Yihong |
collection | PubMed |
description | BACKGROUND AND AIMS: Screen media activity (SMA) may impact neurodevelopment in youth. Cross-sectionally, SMA has been linked to brain structural patterns including cortical thinning in children. However, it remains unclear whether specific brain structural co-variation patterns are related to SMA and other clinically relevant measures such as psychopathology, cognition and sleep in children. METHODS: Adolescent Brain Cognitive Development (ABCD) participants with useable baseline structural imaging (N = 10,691; 5,107 girls) were analyzed. We first used the Joint and Individual Variation Explained (JIVE) approach to identify cortical and subcortical covariation pattern(s) among a set of 221 brain features (i.e., surface area, thickness, or cortical and subcortical gray matter (GM) volumes). Then, the identified structural covariation pattern was used as a predictor in linear mixed-effect models to investigate its associations with SMA, psychopathology, and cognitive and sleep measures. RESULTS: A thalamus-prefrontal cortex (PFC)-brainstem structural co-variation pattern (circuit) was identified. The pattern suggests brainstem and bilateral thalamus proper GM volumes covary more strongly with GM volume and/or surface area in bilateral superior frontal gyral, rostral middle frontal, inferior parietal, and inferior temporal regions. This covariation pattern highly resembled one previously linked to alcohol use initiation prior to adulthood and was consistent in girls and boys. Subsequent regression analyses showed that this co-variation pattern associated with SMA (β = 0.107, P = 0.002) and externalizing psychopathology (β = 0.117, P = 0.002), respectively. DISCUSSION AND CONCLUSIONS: Findings linking SMA-related structural covariation to externalizing psychopathology in youth resonate with prior studies of alcohol-use initiation and suggest a potential neurodevelopmental mechanism underlying addiction vulnerability. |
format | Online Article Text |
id | pubmed-9295222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-92952222022-08-03 Brain structural covariation linked to screen media activity and externalizing behaviors in children Zhao, Yihong Paulus, Martin Bagot, Kara S. Constable, R. Todd Yaggi, H. Klar Redeker, Nancy S. Potenza, Marc N. J Behav Addict Article BACKGROUND AND AIMS: Screen media activity (SMA) may impact neurodevelopment in youth. Cross-sectionally, SMA has been linked to brain structural patterns including cortical thinning in children. However, it remains unclear whether specific brain structural co-variation patterns are related to SMA and other clinically relevant measures such as psychopathology, cognition and sleep in children. METHODS: Adolescent Brain Cognitive Development (ABCD) participants with useable baseline structural imaging (N = 10,691; 5,107 girls) were analyzed. We first used the Joint and Individual Variation Explained (JIVE) approach to identify cortical and subcortical covariation pattern(s) among a set of 221 brain features (i.e., surface area, thickness, or cortical and subcortical gray matter (GM) volumes). Then, the identified structural covariation pattern was used as a predictor in linear mixed-effect models to investigate its associations with SMA, psychopathology, and cognitive and sleep measures. RESULTS: A thalamus-prefrontal cortex (PFC)-brainstem structural co-variation pattern (circuit) was identified. The pattern suggests brainstem and bilateral thalamus proper GM volumes covary more strongly with GM volume and/or surface area in bilateral superior frontal gyral, rostral middle frontal, inferior parietal, and inferior temporal regions. This covariation pattern highly resembled one previously linked to alcohol use initiation prior to adulthood and was consistent in girls and boys. Subsequent regression analyses showed that this co-variation pattern associated with SMA (β = 0.107, P = 0.002) and externalizing psychopathology (β = 0.117, P = 0.002), respectively. DISCUSSION AND CONCLUSIONS: Findings linking SMA-related structural covariation to externalizing psychopathology in youth resonate with prior studies of alcohol-use initiation and suggest a potential neurodevelopmental mechanism underlying addiction vulnerability. Akadémiai Kiadó 2022-06-30 2022-07 /pmc/articles/PMC9295222/ /pubmed/35895476 http://dx.doi.org/10.1556/2006.2022.00044 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/ Open Access. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated. |
spellingShingle | Article Zhao, Yihong Paulus, Martin Bagot, Kara S. Constable, R. Todd Yaggi, H. Klar Redeker, Nancy S. Potenza, Marc N. Brain structural covariation linked to screen media activity and externalizing behaviors in children |
title | Brain structural covariation linked to screen media activity and externalizing behaviors in children |
title_full | Brain structural covariation linked to screen media activity and externalizing behaviors in children |
title_fullStr | Brain structural covariation linked to screen media activity and externalizing behaviors in children |
title_full_unstemmed | Brain structural covariation linked to screen media activity and externalizing behaviors in children |
title_short | Brain structural covariation linked to screen media activity and externalizing behaviors in children |
title_sort | brain structural covariation linked to screen media activity and externalizing behaviors in children |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295222/ https://www.ncbi.nlm.nih.gov/pubmed/35895476 http://dx.doi.org/10.1556/2006.2022.00044 |
work_keys_str_mv | AT zhaoyihong brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren AT paulusmartin brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren AT bagotkaras brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren AT constablertodd brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren AT yaggihklar brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren AT redekernancys brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren AT potenzamarcn brainstructuralcovariationlinkedtoscreenmediaactivityandexternalizingbehaviorsinchildren |